Gigantti Scraper — Finnish Electronics, Computers & Appliances
Pricing
Pay per event
Gigantti Scraper — Finnish Electronics, Computers & Appliances
Scrape products, prices, ratings, and stock from Gigantti.fi. Finland's leading electronics retailer (Elkjøp group). Supports search queries, category browsing, and product page scraping.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Studio Amba
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
Categories
Share
Gigantti Scraper
Extracts product data from gigantti.fi, Finland's leading consumer electronics chain (part of the Elkjop/Elgiganten Nordic group).
Input
| Field | Type | Required | Description |
|---|---|---|---|
searchQuery | String | No | Search for products (e.g., "kannettava tietokone") |
categoryUrl | String | No | Category page URL from gigantti.fi |
maxResults | Integer | No | Limit (default: 100) |
proxyConfiguration | Object | No | Proxy settings |
You need at least one of searchQuery or categoryUrl.
Output
| Field | Type | Example |
|---|---|---|
name | String | "Samsung Galaxy S24 Ultra 256GB" |
brand | String | "Samsung" |
price | Number | 1399.00 |
originalPrice | Number | 1499.00 |
currency | String | "EUR" |
ean | String | "8806095349374" |
sku | String | "614723" |
inStock | Boolean | true |
rating | Number | 4.5 |
reviewCount | Number | 78 |
imageUrl | String | Product image |
description | String | Cleaned product description |
category | String | Breadcrumb-based category |
language | String | "fi" |
Technical details
Product data is extracted primarily from JSON-LD @graph arrays embedded in Gigantti's pages (standard across the Elkjop platform). Falls back to HTML meta tags when JSON-LD is missing. Ratings on a scale other than 1-5 are automatically normalized.
Product URLs on Gigantti contain /product/, /tuote/, or /p/ path segments.
Cost
HTTP scraper, around $0.25 per 1,000 products.
Limitations
- Finnish-language site. Product names, categories, and descriptions are in Finnish.
- Pagination is attempted via
?page=Nincrementing. Some category layouts may not paginate correctly.
Why use Gigantti Scraper
- Price monitoring — Track prices, stock, and promotions across Gigantti at scale
- Competitive intelligence — Compare your catalog against Gigantti pricing and assortment
- Market research — Analyze category trends, new arrivals, and rating distributions
- Lead generation — Build product datasets for affiliate sites, comparison tools, or feeds
- No login or cookies required — Authenticated access not needed; works out of the box
How to use Gigantti Scraper
- Open the Input tab and provide a search query, category URL, or product list
- Adjust optional filters such as
maxResultsor proxy settings - Click Start and wait for the run to complete
- Download results from the Output tab in JSON, CSV, Excel, XML, or HTML
- Schedule recurring runs from the Schedule tab if you need ongoing data
How to scrape Gigantti data
This Actor automates the process of extracting structured product data from Gigantti. You can run it directly from the Apify console, the Apify API, or any of the official SDKs (JavaScript, Python). The scraper handles pagination, retries, and rate limiting so you can focus on the data, not the plumbing.
Typical workflows:
- One-off export: paste a category URL or keyword, set
maxResults, and run - Scheduled monitoring: set a daily cron in the Schedule tab to track prices over time
- Programmatic integration: trigger runs from your backend via the Apify API and pull the dataset when finished
- Webhook automation: receive a callback the moment a run completes and pipe the results into Zapier, Make, n8n, BigQuery, or Google Sheets
Tips for best results
- Start small — run with
maxResults: 10before launching large jobs - Use proxies — residential proxies reduce blocking on protected sites
- Throttle on big jobs — keep
maxConcurrencymodest (5–10) for stability - Schedule runs — daily runs are usually enough for price monitoring
- Inspect the dataset schema — the Storage tab shows the full output structure
FAQ and support
Is it legal to scrape Gigantti? This Actor extracts publicly available data. Always review the website's Terms of Service before scraping at scale, and respect rate limits.
Why am I getting fewer results than expected? Some categories have hidden
pagination or load more on scroll. Increase maxResults and verify your filters.
Can I extract data for a single product? Yes — provide the full product URL
in startUrls and the scraper will return one item.
The site blocks me — what should I do? Enable Apify residential proxies in the input. Datacenter IPs are blocked by many e-commerce sites.
For issues, feature requests, or bug reports, open a ticket in the Issues tab on the Actor page or contact support@apify.com. We monitor every actor and ship fixes quickly when sites change.